Several methods attempt to solve the problem of sample efficiency. Some approach this problem as the problem of efficient use of already collected data and utilize the idea of experience prioritization [1]} or data augmentation and normalization to prevent overfitting to a small data sample [2]}, [3]}, [4]}. Others encourage agents to explore the environment more efficiently and collect more diverse experiences [5]}, [6]}, [7]}, [8]}.
